We study how neural circuit organization and computation emerge from the interaction of single neuron properties and synaptic plasticity during learning and development, and from efficient coding principles during evolution.
We acquire connectomes, the maps of neuronal networks in the brain, to decipher how the cerebral cortex stores sensory experience and uses it to detect objects in the environment.
Our lab focuses on neural circuits mediating planning and decisions for goal-directed spatial navigation, investigating how the brain can encode the next destination and simulate its associated sequences of actions based on the brain’s internal map.
Our laboratory is interested in the behavior, dynamics and emergent properties of neural systems (typically, networks of interacting neurons or neuron populations), especially as these properties relate to neural coding and sensory representation.
Erin Schuman’s long-standing research interest is the study of cellular mechanisms and neural circuits that underlie information processing and storage and animal behavior.
Our lab studies the neural mechanisms that underlie the flexible implementation of instinctive behaviours, with a focus on the synaptic and cellular correlates of behavioural flexibility in defined neural circuits.
We focuse on the computational modeling and mathematical analysis of single neurons and recurrent networks.
We are interested in elucidating the molecular pathways involved in the crosstalk between vessels and nerves and how this crosstalk signaling is integrated among the different cellular players (neurons, endothelial cells, astrocytes) at the neurovascular interface.